Department of Computer Science and Engineering
The Department is experiencing a phase of dynamic growth and opportunity, driven by technological advancements and recognized for its excellence.
Overview
The department is experiencing rapid growth, driven by technological advancements and its recognition for excellence. This creates abundant opportunities for innovation, research, and development, offering students and faculty the chance to excel in the evolving tech landscape.
Our Vision
To be a competent department of Computer Science and Engineering, committed to nurturing critical thinking, innovation and multidisciplinary knowledge in students to drive technological progress and contribute meaningfully to society.
Our Mission
To build a strong academic foundation in computer science and engineering, complemented by practical learning that enhances analytical thinking, creativity, and effective problem-solving skills.
To equip students with emerging tools and technologies while cultivate ethical values, teamwork, communication, and leadership to prepare them for successful professional careers.
To promote multidisciplinary research and innovation that empowers students to develop responsible, impactful technological solutions addressing societal and global challenges.
Program Educational
Objectives (PEOs)
Build careers in software roles such as development, testing, DevOps, data analytics, and cybersecurity by utilizing core engineering and programming skills.
Pursue higher education or research in computing and allied fields through a strong academic foundation and a passion for learning.
Initiate or contribute to entrepreneurial and innovation-driven ventures with leadership, ethics, and a focus on societal needs.
Program Specific
Outcome Statements (PSOs)
To use mathematical methodologies to crack problem using suitable mathematical analysis, data structure and suitable algorithm
To grasp the software development lifecycle and methodologies of software systems.
To interpret the fundamental concepts and methodology of computer systems.
Program Outcomes
Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to professional engineering practice.
Understand the impact of the professional engineering solutions insocietal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
Demonstrate knowledge and understanding of the engineering and management principles and apply them to one’s work as a member and a leader of a team, in managing projects in a multidisciplinary environment.
Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
Our Faculty
Dr. SV Hemanth
14 Years ExperienceAssociate Professor & HOD
Ph.D in Deep Learning
Dr. M. Rajeshwar
24 Years ExperienceAssociate Professor
Ph.D in Machine Learning
Mr. G. Chandra Shekhar
19 Years ExperienceAssistant Professor
Mr. Thambi Joseph
18 Years ExperienceAssistant Professor
Mr. B. Surendra Reddy
16 Years ExperienceAssociate Professor
Ph.D in Engineering
Mr. T. Raghavendra Gupta
15 Years ExperienceAssistant Professor
Mr. Vadla Navakishore
9 Years ExperienceAssistant Professor
Mr. Shaik. Meer Subhani Ali
9 Years ExperienceAssistant Professor
Mr. Ravi Gurram
7 Years ExperienceAssistant Professor
Dr. S. Arvind
33 Years ExperienceProfessor
Ph.D in Adhoc Networks
Ms. K. Krishna Jyothi
9 Years ExperienceAssistant Professor
Ms. K. Veena
5 Years ExperienceAssistant Professor
Mr. K. Ravi Kumar
15 Years ExperienceAssistant Professor
Mr. D. Mani Kanta
5 Years ExperienceAssistant Professor
Mr. Bhaskar Das
8 Years ExperienceAssistant Professor
Dr. P. Padmaja
15 Years ExperienceProfessor
Ph.D in Software Engineering
Ms. C. Surekha
8 Years ExperienceAssistant Professor
Dr. Sathish Kumar
10 Years ExperienceAssociate Professor
Ph.D in MANET
Mr. Dharmendra Kumar Roy
10 Years ExperienceAssociate Professor
Ms. Richa Tiwari
3 Years ExperienceAssistant Professor
Ms. Zeenath Jaha Begum
8 Years ExperienceAssistant Professor
Dr M V A Naidu
14 Years ExperienceAssistant Professor
Ph.D in Machine Learning and Deep Learning
Ms. Jahanara Begum
3 Years ExperienceAssistant Professor
Dr. David Raju
24 Years ExperienceAssociate Professor
Mr. Madhu Guda
3 Years ExperienceAssistant Professor
Mr. Periyaswamy
14 Years ExperienceAssistant Professor
Mrs. A Devi
0.3 Years ExperienceAssistant Professor
Labs
| S No. | Name of the Laboratory | No. of Students per setup(Batch size) | Name of the Major equipment | Safety measures | |
| 1 | Programming for Problem Solving & Data Structures Lab | 1(36) & 1(36) | Intel ® Corei3 ,4GB DDR3,500GB HDD, Turbo C Software | v Specific safety rules for students displayed. | |
| 2 | Design & Analysis of Algorithms and Database Management System Lab | 1(36) & 1(36) | Intel Corei3,4GB DDR3,500GB HDD, Python installed with MySQL and JDK installed, Turbo C Software | v First aid boxes& fire extinguishers are kept in the laboratory. | |
| 3 | Object-Oriented Programming using Java and Python Programming Lab | 1(36) & 1(36) | Intel Corei3 ,4GB DDR3,500GB HDD, Python installed with MySQL and JDK installed | v Periodical servicing of the lab equipments. | |
| 4 | Computer Networks and Mini-Project Lab, | 1(36) & 1(36) | Intel Corei3,4GB DDR3,500GB HDD, Python installed with MySQL and JDK installed, C Compiler | v Maintain a clean & organized laboratory. | |
| 5 | Web Technologies & Software Engineering Lab | 1(36) & 1(36) | Intel ® Corei3 ,4GB DDR3,500GB HDD, MySQL and JDK installed, C Compiler, Star UML installed | v Avoid the use of cell phones. | |
| 6 | Full Stack Web Development & Cryptography Lab | 1(36) & 1(36) | Intel ® Corei3 ,4GB DDR3,500GB HDD, MySQL and JDK installed, C Compiler | v Avoid the use of damaged equipment &provide needful equipment & components. | |
| 7 | Artificial Intelligence & Big Data Analytics Lab | 1(36) & 1(36) | Intel Corei3, 4GB DDR3,500GB HDD, Python Installed, Prolog Installed | v CC Cameras, UPS (DATA SAFETY), FIRE Extinguisher, Proper earthling, well trained technical/supporting staff are provided. | |
| 8 | Computer Vision, Robotics & Design Thinking Lab | 1(36) & 1(36) | Intel Corei3,4GB DDR3,500GB HDD, Python Installed | ||
| 9 | Project Lab | 1(36) & 1(36) | Intel Corei5, 8GB DDR3,500GB HDD, Python Installed, Prolog Installed |
DO’s:
- Students must be in formal along with ID card.
- Come to lab in time.
- Carry your observation & record.
- Write your entry in login register.
- Students should be aware of ergonomic guidelines for correct posture when using computer equipment.
- Maintain silence inside the lab.
- Log-off — leave the computer ready for the next user.
- Pick-up your materials and push in the chair.
DONT’S :
- Mobiles are restricted in lab.
- Avoid stepping on electrical wires or any other computer cables.
- Do not remove equipment from the computer laboratory without permission.
- Do not install software’s without permission.
- Do not personalize the computer settings.
- Do not misbehave in the computer laboratory.
- Do not touch, connect or disconnect any plug or cable without your lecturer/ laboratory technician’s permission.
- Do not visit the sites with viruses or inappropriate content. If you see a site like this, turn off your monitor and raise your hand.
- Do not visit social media sites such as Facebook, Twitter etc.
- Do not download anything without permission.
- Do not play any games.
